FFT-based reconstruction is suboptimal in the presence of signal decay during acquisition and between-excitation (shot-to-shot) variance in relaxation parameters. We present a novel reconstruction algorithm, Weighted Optimized Reconstruction of K-space (WORK), which weights each k-space point differently, optimizing for all sources of variance. Simulation results demonstrate the potential for 2X temporal SNR improvement in gradient-echo EPI acquisitions compared to standard FFT reconstruction while preserving spatial information. Substantial SNR improvement is also demonstrated for a pCASL 2D GE-EPI-SMS acquisition.
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